tasks/task_008_comprehensive_decision_hard_hard002.md

metadata

id: task_008_comprehensive_decision_hard_hard002
name: comprehensive_decision-hard-hard002
category: comprehensive_decision
grading_type: llm_judge
timeout_seconds: 1200
gold_file: qa_gold/comprehensive_decision/hard002.json
workspace_files:
  - source: database/bilingual_translation_english_chinese.json
    dest: database/bilingual_translation_english_chinese.json
  - source: database/enterprise/company_core.csv
    dest: database/enterprise/company_core.csv
  - source: database/enterprise/company_operation_status.csv
    dest: database/enterprise/company_operation_status.csv
  - source: database/enterprise/company_operation_status_detail.csv
    dest: database/enterprise/company_operation_status_detail.csv
  - source: database/enterprise/company_operation_yearly_status.csv
    dest: database/enterprise/company_operation_yearly_status.csv
  - source: database/enterprise/company_profile.csv
    dest: database/enterprise/company_profile.csv
  - source: database/enterprise/company_profile_as.csv
    dest: database/enterprise/company_profile_as.csv
  - source: database/enterprise/company_profile_eu.csv
    dest: database/enterprise/company_profile_eu.csv
  - source: database/enterprise/company_profile_na.csv
    dest: database/enterprise/company_profile_na.csv
  - source: database/enterprise/company_profile_oc.csv
    dest: database/enterprise/company_profile_oc.csv
  - source: database/industry/national_industry_status.csv
    dest: database/industry/national_industry_status.csv
  - source: database/industry/national_industry_status_detail.csv
    dest: database/industry/national_industry_status_detail.csv
  - source: database/industry/national_industry_yearly_status.csv
    dest: database/industry/national_industry_yearly_status.csv
  - source: database/industry/regional_industry_status.csv
    dest: database/industry/regional_industry_status.csv
  - source: database/industry/regional_industry_status_detail.csv
    dest: database/industry/regional_industry_status_detail.csv
  - source: database/industry/regional_industry_yearly_status.csv
    dest: database/industry/regional_industry_yearly_status.csv
  - source: database/internal_metrics.csv
    dest: database/internal_metrics.csv
  - source: database/policy/policy_release_status.csv
    dest: database/policy/policy_release_status.csv
  - source: database/policy/policy_resource.csv
    dest: database/policy/policy_resource.csv

Prompt

In 2022, conduct a quantitative assessment of the investment value of the semiconductor industry across provinces. The evaluation framework requires incorporating three dimensions: first, industry scale (40% weight), measured by the inter-provincial rank percentile of total operating revenue in each province; second, profitability quality (30% weight), reflected by the inter-provincial rank percentile of operating profit margin (total operating profit divided by total operating revenue) in each province; third, technology output intensity (30% weight), measured by the inter-provincial rank percentile of the ratio of total patent applications to R&D expenditure (converted to 100 million yuan) in each province. The rank percentile for each indicator is calculated by sorting values from low to high, using the formula (rank - 1) / (total number of provinces - 1). Note that only provinces with complete data for all three indicators are included in the calculation. Under this weighted scoring system, what is the final score of the province ranked first in comprehensive investment value?

Output guidelines: The answer should be a numerical value with 2 decimal places. Output only the number, without units or text. If relevant data cannot be found, please answer "No relevant data found"

Only use files under ./database/.

Expected Behavior

Agent should read the provided database/ files, compute the result, and return the final answer. The final answer must follow the required output format.

Grading Criteria

• Final answer semantically matches the gold answer.
• Output format follows guidelines.

LLM Judge Rubric

Criterion 1: Single-answer Correctness (Weight: 100%)

Gold answer JSON: 0.67

Scoring rules:

• Judge semantic equivalence between the model final answer and the gold answer.
• Return scores with one key match as 1 or 0.
• Return total as 1.0 if equivalent, otherwise 0.0.